@devurandom @lizardsquid @Efi @typhlosion

I was thinking some people find math hard (I do) but find it even harder to implement in programming, I want to make a short book on implementing and solving equations in programming.

@LottieVixen @devurandom@cybre.space @lizardsquid @Efi the two big problems in math programming are discretization and numeric stability

the optional super-boss tucked away in an obscure part of the world map is fast inverse square root

@typhlosion @devurandom @lizardsquid @Efi
I don't know what "discretization" is and is numeric stability handling infinity in finite space ?

@LottieVixen @devurandom@cybre.space @lizardsquid @Efi numeric stability is a problem that arises with floating point numbers where, for instance, adding a very small number (e.g. 0.00001) to a very big number (e.g. 100000) might not actually change the very big number *at all*, because of how floating-points work

so if your algorithm relies on doing that many many times, the number it gives back could be very *very very* wrong if not designed with this in mind

@typhlosion @devurandom @lizardsquid @Efi ahhhhhhh

@inmysocks @devurandom @lizardsquid @Efi @typhlosion oh gosh please do <3

@inmysocks @LottieVixen @devurandom@cybre.space @lizardsquid @Efi this is what i was feeling too

on the other hand i was frustrated enough in calc 2 that i felt there had to be a better way to talk about these subjects